• Title/Summary/Keyword: average case error

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Rank Reduction for Wideband Signals incident on a Uniform Linear Array

  • Hong, Wooyoung
    • Proceedings of the Acoustical Society of Korea Conference
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    • 1992.06a
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    • pp.123-126
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    • 1992
  • A new class of data transformation matri is introduced for estimation of angles of arrivals by the rank reduction of multiple wideband sources. The proposed unitary focusing matri minimizes the average of the squared norm of focusing error over the angles of interest without a priori knowledge of source locations. The merit that result as a consequence is a lower resolution threshold. These matrices can be applied to the case of the multigroup sources. Simulations and the comparison of statistical performance are compared with the algorithms (especially, spatial resampling method) which does not require the pre-estimation.

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A Study on the Generations of k-fold Wiener Process (k-fold Wiener Process의 생성에 관한 연구)

  • 최성희
    • Proceedings of the Korean Information Science Society Conference
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    • 1998.10b
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    • pp.676-678
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    • 1998
  • 본 논문에서는 Information-Based Complexity분양의 문제들 중 그 complexity를 계산하기 매우 어렵거나 불가능한 문제들의 오차를 분석하기 위해서 k-fold Wiener process를 생성하는 algorithm에 대해 연구하고, 이 algorithm을 실제 프로그램 하였다. 또한 이 프로그램이 생성한 함수가 실제 k-fold Wiener process와 아주 근사하다는 것을 Kolmogorov-Smirnov test를 통하여 보여준다. 이 프로그램을 이용하면 여러 문제들의 average case error를 Monte-Carlo Simulation 과 같은 방법을 사용하여 실험적으로 계산할 수 있다.

A Study on Binary Direct-Sequence Spread Spectrum Multiple Access Communications over Rayleigh Fading Channels (Rayleigh 페이팅 채널에서의 Binary 직접 시퀀스 확산 대역 다중 접근 통신에 관한 연구)

  • 허문기;박상규
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.26 no.12
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    • pp.1910-1917
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    • 1989
  • This paper shows the performances of asynchronous binary direct-sequence spread-spectrum multiple access communication systems with Rayleigh fading and White Gaussian noise. The performance measures considered are worst-case bit error probability and average SNR depending on code sequences and chip waveforms. The code sequences used are m-sequence and Gold sequence with period 31.The chip waveforms employed are rectangular, sinusoidal and something other chip waveforms.

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A Method to Construct a Cut-off Fingerprint Map to Improve Accuracy in Indoor Positioning Scheme (실내 위치 추정 방식에서 정확도를 향상시키기 위해 컷-오프 핑거프린트 지도를 구성하는 방식)

  • Kim, Dongjun;Son, Jooyoung
    • Journal of Korea Multimedia Society
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    • v.20 no.8
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    • pp.1330-1337
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    • 2017
  • In off-line phase of the preliminary Cut-off indoor positioning scheme, which is one of the indoor positioning scheme using the fingerprint, relative ranks of peak RSSIs received from beacons at each reference point are stored in the fingerprint map. In some reference points, signals of multiple beacons may be received. In this case, the relative ranks may be different when constructing fingerprint and when receiving signals in real-time. To solve this problem, we propose a method to utilize only up to five beacons with high ranking when constructing a fingerprint and when receiving signals in real-time and comparing them with stored information of a fingerprint. Experiments were conducted on the estimation probabilities and the average error when using this method. Those are compared with the previous methods. Experimental results show that the estimation probabilities and the average error are improved by removing only the remaining five beacons at each reference point of the fingerprint.

A Spectral Compensation Method for Noise Robust Speech Recognition (잡음에 강인한 음성인식을 위한 스펙트럼 보상 방법)

  • Cho, Jung-Ho
    • 전자공학회논문지 IE
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    • v.49 no.2
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    • pp.9-17
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    • 2012
  • One of the problems on the application of the speech recognition system in the real world is the degradation of the performance by acoustical distortions. The most important source of acoustical distortion is the additive noise. This paper describes a spectral compensation technique based on a spectral peak enhancement scheme followed by an efficient noise subtraction scheme for noise robust speech recognition. The proposed methods emphasize the formant structure and compensate the spectral tilt of the speech spectrum while maintaining broad-bandwidth spectral components. The recognition experiments was conducted using noisy speech corrupted by white Gaussian noise, car noise, babble noise or subway noise. The new technique reduced the average error rate slightly under high SNR(Signal to Noise Ratio) environment, and significantly reduced the average error rate by 1/2 under low SNR(10 dB) environment when compared with the case of without spectral compensations.

Development of Statistical Model and Neural Network Model for Tensile Strength Estimation in Laser Material Processing of Aluminum Alloy (알루미늄 합금의 레이저 가공에서 인장 강도 예측을 위한 회귀 모델 및 신경망 모델의 개발)

  • Park, Young-Whan;Rhee, Se-Hun
    • Journal of the Korean Society for Precision Engineering
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    • v.24 no.4 s.193
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    • pp.93-101
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    • 2007
  • Aluminum alloy which is one of the light materials has been tried to apply to light weight vehicle body. In order to do that, welding technology is very important. In case of the aluminum laser welding, the strength of welded part is reduced due to porosity, underfill, and magnesium loss. To overcome these problems, laser welding of aluminum with filler wire was suggested. In this study, experiment about laser welding of AA5182 aluminum alloy with AA5356 filler wire was performed according to process parameters such as laser power, welding speed and wire feed rate. The tensile strength was measured to find the weldability of laser welding with filler wire. The models to estimate tensile strength were suggested using three regression models and one neural network model. For regression models, one was the multiple linear regression model, another was the second order polynomial regression model, and the other was the multiple nonlinear regression model. Neural network model with 2 hidden layers which had 5 and 3 nodes respectively was investigated to find the most suitable model for the system. Estimation performance was evaluated for each model using the average error rate. Among the three regression models, the second order polynomial regression model had the best estimation performance. For all models, neural network model has the best estimation performance.

Soft Error Detection for VLIW Architectures with a Variable Length Execution Set (Variable Length Execution Set을 지원하는 VLIW 아키텍처를 위한 소프트 에러 검출 기법)

  • Lee, Jongwon;Cho, Doosan;Paek, Yunheung
    • KIPS Transactions on Computer and Communication Systems
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    • v.2 no.3
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    • pp.111-116
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    • 2013
  • With technology scaling, soft error rate has greatly increased in embedded systems. Due to high performance and low power consumption, VLIW (Very Long Instruction Word) architectures have been widely used in embedded systems and thus many researches have been studied to improve the reliability of a system by duplicating instructions in VLIW architectures. However, existing studies have ignored the feature, called VLES (Variable Length Execution Set), which is adopted in most modern VLIW architectures to reduce code size. In this paper, we propose how to support instruction duplication in VLIW architecture with VLES. Our experimental results demonstrate that a VLIW architecture with VLES shows 64% code size decrement on average at the cost of about 4% additional cell area as compared to the case of a VLIW architecture without VLES when instruction duplication is applied to both architectures. Also, it is shown that the case with VLES does not cause extra execution time compared to the case without VLES.

Design and Estimation of Multiple Acceptance Sampling Plans for Stochastically Dependent Nonstationary Processes (확률적으로 종속적인 비평형 다단계 샘플링검사법의 설계 및 평가)

  • Kim, Won-Kyung
    • Journal of Korean Institute of Industrial Engineers
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    • v.25 no.1
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    • pp.8-20
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    • 1999
  • In this paper, a design and estimation procedure for the stochastically dependent nonstationary multiple acceptance sampling plans is developed. At first, the rough-cut acceptance and rejection numbers are given as an initial solution from the corresponding sequential sampling plan. A Monte-Carlo algorithm is used to find the acceptance and rejection probabilities of a lot. The conditional probability formula for a sample path is found. The acceptance and rejection probabilities are found when a decision boundary is given. Several decision criteria and the design procedure to select optimal plans are suggested. The formula for measuring performance of these sampling plans is developed. Type I and II error probabilities are also estimated. As a special case, by setting the stage size as 1 in a dependent sampling plan, a sequential sampling plan satisfying type I and II error probabilities is more accurate and a smaller average sample number can be found. In a numerical example, a Polya dependent process is examined. The sampling performances are shown to compare the selection scheme and the effect of the change of the dependency factor.

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Clinical Application of Image Guided Surgery : Zeiss SMN System (영상유도 뇌수술 장비의 임상적 적용 : Zeiss SMN System)

  • Lee, Chea Heuck;Lee, Ho Yeon;Whang, Choong Jin
    • Journal of Korean Neurosurgical Society
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    • v.29 no.1
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    • pp.72-77
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    • 2000
  • The authors describe the experience with the interactive image-guided Zeiss SMN system, which has been applied to 20 patients with various intracranial lesions during one year. Preoperative radiologic evaluation was CT scan in 6 cases, MRI in 14 cases. In all except one case, average fiducial registration errors were less than 2mm. There was no statistical difference in registration error between CT and MR image. This system considered to be relatively stable with respect to soft and hardware. Also it was useful for the designing of the scalp incision and bone flap and assessing the extent of resection in tumors, especially in gliomas. Moreover, it was helpful to evaluate complex surgical anatomy in skull base surgery.

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One-way ANOVA Analysis to Verify the Effect of Hybrid Strength Estimators by Number of Measurements (일원분석을 통한 하이브리드 추정계의 측정횟수별 영향검증)

  • Han, Soo-Hwan;Hu, Yun-Yao;Kim, Su-Ho;Lim, Gun-Su;Kim, Jong;Han, Min-Cheol
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2022.04a
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    • pp.37-38
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    • 2022
  • This study is attempted to propose an appropriate number of measurements by checking and statistically analyzing the change in hardness according to the number of measurements. As a result, there was no significant difference between the 20th and 30th data, and in the 10th case, the effect on errors occurring during measurement was found to be dominant. Therefore, as the number of measurements, proposing 20 times in consideration of the convenience of use. In addition, in order to minimize the effect on the measurement error, it is proposed to remeasure the surface mane of the measurement surface and the test value in which the error occurs on the average of the test values.

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